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Author Maniu, Silviu ♦ Senellart, Pierre ♦ Amarilli, Antoine
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data
Abstract We call data intensional when it is not directly available, but must be accessed through a costly interface. Intensional data naturally arises in a number of Web data management scenarios, such as Web crawling or ontology-based data access. Such scenarios require us to model an uncertain view of the world, for which, given a query, we must answer the question "What is the best thing to do next?" Once data has been retrieved, the knowledge of the world is revised, and the whole process is repeated, until enough knowledge about the world has been obtained for the particular application considered. In this article, we give an overview of the steps underlying all intensional data management scenarios, and illustrate them on three concrete applications: focused crawling, online influence maximization in social networks, and mining crowdsourced data.
Description Affiliation: CNRS LTCI, Paris, France and National University of Singapore; CNRS IPAL, Singapore (Senellart, Pierre) || Huawei Noah's Ark Lab, Hong Kong (Maniu, Silviu) || Institut Mines Télécom; Télécom ParisTech; CNRS LTCI, Paris, France (Amarilli, Antoine)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-07-01
Publisher Place New York
Journal ACM SIGWEB Newsletter (LINK)
Issue Number Summer 2015
Page Count 12
Starting Page 1
Ending Page 12


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Source: ACM Digital Library